基本信息
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职业迁徙
个人简介
My research interests lie in the broad area of machine learning and artificial intelligence. I was drawn to the discipline of machine learning by the way it blends mathematics and real applications. I am mostly interested in developing unsupervised and semi-supervised learning algorithms and applying them to solve various real problems in computer vision, natural language processing, product search and recommendation, healthcare, and other application domains. On the theory side, I seek to develop deeper understanding into the principles of practical methods and answer questions like under what circumstance one method is better than another and when a particular assumption breaks down. I usually end up gaining new insights by studying such questions, which give me inspirations of developing more effective solutions. The topics I recently worked on include:
Pre-training and self-supervised learning;
Zero/Few-Shot learning and meta-learning;
Graph-based unsupervised and semi-supervised learning;
Intent recognition for dialogue systems;
Vision-language approaches and applications in healthcare;
Product search and recommender systems;
Real-world image restoration.
Pre-training and self-supervised learning;
Zero/Few-Shot learning and meta-learning;
Graph-based unsupervised and semi-supervised learning;
Intent recognition for dialogue systems;
Vision-language approaches and applications in healthcare;
Product search and recommender systems;
Real-world image restoration.
研究兴趣
论文共 77 篇作者统计合作学者相似作者
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AAAI 2024no. 6 (2024): 5327-5335
Qijiong Liu,Jieming Zhu, Yanting Yang,Quanyu Dai,Zhaocheng Du,Xiao-Ming Wu,Zhou Zhao,Rui Zhang, Zhenhua Dong
arxiv(2024)
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Web Search and Data Miningpp.452-461, (2024)
arxiv(2024)
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AAAI 2024no. 6 (2024): 5336-5344
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